Results 151 to 160 of about 3,092 (256)

CLRe: A Synergistic Dual‐Engine Framework for One‐Step Retrosynthesis Prediction

Advanced Science, EarlyView.
CLRe uses a contrastive difficulty score to order pretrained seq2seq fine‐tuning for retrosynthesis. Reaction embeddings define the ranking score, and a cumulative easy‐to‐hard schedule expands from the easiest subset to the full training set while earlier examples remain active.
Tianhao Su, Xitao Wang, Musen Li, Guanhua Qin, Shunbo Hu, Tong‐Yi Zhang   +5 more
wiley   +1 more source

Quantum machine learning for predicting anastomotic leak: a clinical study. [PDF]

Sci Rep
Novák V, Zelinka I, Přibylová L, Martínek L, Benčurik V.   +4 more
europepmc   +1 more source

Interfacial Water Configurations: Evolution and Implications for Electrocatalysis

Advanced Science, EarlyView.
A comprehensive and mechanistic understanding of how interfacial water structures govern reaction pathways. This review aims to bridge the gap between unraveling the intricate role of water structures and establishing robust design principles for advanced catalysts.
Aoqi Wang, Yang Song, Lin Guo, Chenchen Weng, Yanxia Yuan, Chaoyu Li, Xue Yang, Wei Lin   +7 more
wiley   +1 more source

Analysis of Influencing Factors in Quantum Chemistry Simulation Based on VQE Algorithm. [PDF]

Entropy (Basel)
Zhang M, Kang J, Wu Q, Han B.
europepmc   +1 more source

Neuromorphic Devices and Computing for Sensing, Memory, and Control

Advanced Science, EarlyView.
This review introduces neuromorphic devices made from diverse materials. These devices mimic neuronal functions and architectures and, when integrated with artificial or biological computing, can form closed loops with neurons for pressure, optical, acoustic, and biochemical sensing and modulation.
Zhengguang Zhu, Nicholas Schaffer, Xiao Yang   +2 more
wiley   +1 more source

Theoretical Perspectives of Precision Chemistry. [PDF]

Precis Chem
Ma H, Liu J, Li Z, Yang J.
europepmc   +1 more source

Fundamental Challenges, Physical Implementations, and Integration Strategies for Ising Machines in Large‐Scale Optimization Tasks

Advanced Electronic Materials, EarlyView.
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley   +1 more source

Multiclass portfolio optimization via variational quantum Eigensolver with Dicke state ansatz. [PDF]

Sci Rep
Scursulim JVS, Langeloh GM, Beltran VL, Brito S.   +3 more
europepmc   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

Light cone cancellation for variational quantum eigensolver in solving noisy Max-Cut. [PDF]

Sci Rep
Lee X, Yan X, Xie N, Saito Y, Kurosawa L, Asai N, Cai D, Lau HC.   +7 more
europepmc   +1 more source